Hospitality & Merchandise Intern

ASML

West LA, United States
On site (west la, central dallas, east nyc, chicago, & toronto)
Data analysis using excel, sql, r, python, and/or powerbi
Proficient in microsoft office suite
Experience communicating complex ideas
Legends Global is seeking a Hospitality & Merchandise Intern to support data and analytics projects within their organization. This position offers hands-on experience in consulting, data analysis, and collaboration across various functional areas while being mentored by a senior leader

Job Summary

  • The Hospitality and Merchandise Insights Intern will support ongoing data and analytics deliverables across the Legends Global portfolio.
  • The intern will get hands-on experience consulting venues, querying and exporting data for ad hoc analyses, and playing a key role in the quality control maintenance of current data visualizations.
  • The program will ensure cross-functional exposure to Merchandise and Hospitality operators as well as collaborative opportunities within Legends Global Insights functional areas.

Matching Summary

Match Score: 85

Legends Global is seeking a Hospitality & Merchandise Intern to support data and analytics projects within their organization. This position offers hands-on experience in consulting, data analysis, and collaboration across various functional areas while being mentored by a senior leader.

Skills & Requirements

Must-have

  • Data analysis using Excel, SQL, R, Python, and/or PowerBI
  • Proficient in Microsoft Office suite
  • Experience communicating complex ideas
  • Excellent interpersonal, verbal and written communication skills

Nice-to-have

  • Ambitious thinking and bold action
  • Inclusive workplace culture
  • Collaborative opportunities

Key Requirements

  • 1-2 years of experience in quantitative data analysis
  • Currently pursuing a bachelor’s or master’s degree
  • Completed coursework in economics, data science, business intelligence, analytics, or a related quantitative field

Work Rights

Not specified

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